Many interfaces allow users to manipulate graphical objects, icons representing underlying data or the data themselves, against a spatial backdrop or canvas. Users take advantage ...
Frank M. Shipman III, Catherine C. Marshall, Thoma...
Sparse coding which encodes the original signal in a sparse signal space, has shown its state-of-the-art performance in the visual codebook generation and feature quantization pro...
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
We describe a new approach to the detection and classication of scene breaks in video sequences. Our method can detect and classify a variety of scene breaks, including cuts, fade...
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...